Radiation-induced fibrosis in the boost area after three-dimensional conformal radiotherapy with a simultaneous integrated boost technique for early-stage breast cancer: A multivariable prediction model

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• 作者：C. Hammer ; ^{c.hammer@umcg.nl} ; J.H. Maduro ; E.J. Bantema-Joppe ; A. van der Schaaf ; H.P. van der Laan ; J.A. Langendijk ; A.P.G. Crijns
• 关键词：Multivariable prediction model ; Fibrosis ; Breast cancer ; Radiotherapy ; NTCP
• 刊名：Radiotherapy and Oncology
• 出版年：2017
• 出版时间：January 2017
• 年：2017
• 卷：122
• 期：1
• 页码：45-49
• 全文大小：347 K
• 卷排序：122

文摘

To develop a multivariable prediction model for the risk of grade ⩾ 2 fibrosis in the boost area after breast conserving surgery (BCS) followed by three-dimensional conformal radiotherapy (RT) with a simultaneous integrated photon boost (3D-CRT-SIB), five years after RT.Material and methodsThis prospective cohort study included 1,030 patients treated with RT for breast cancer (stage 0-III), after BCS. Data regarding physician-rated fibrosis and dose–volume parameters were available in 546 patients. A multivariable logistic regression model for grade ⩾ 2 fibrosis was generated.ResultsAt 5 years, grade ⩾ 2 fibrosis was observed in 13.4% of the patients. The multivariable analysis resulted in a prediction model for grade ⩾ 2 fibrosis in the boost area including three independent variables: patient age, breast volume receiving ⩾ 55 Gy (V55 CTV breast) and the maximum radiation dose in the breast (Dmax).ConclusionsA multivariable prediction model was developed including age, V55 CTV breast and Dmax for grade ⩾ 2 fibrosis in the boost area after breast cancer RT using a 3D-CRT-SIB technique. This model can be used to estimate the risk of fibrosis and to optimize dose distributions aiming at reducing this risk.